# allbirds.com — Feedmind Score B- (68/100)

AI Readiness Scorecard · scanned 02 AUG 2026 · FM-score methodology v1.0 · 13-page sample.

## Comparison
- Your store: B- (68)

## Dimension scores
- Agent accessibility: 83
- Structured data: 0
- Content answerability: 92
- Multi-language parity: 100

## Top issues to fix first
1. [HIGH] No schema.org Product markup found on the page. — Add Product JSON-LD with name, description, brand, image and an Offer (price, currency, availability).
2. [HIGH] No GTIN (global product identifier) found on the page. — Map GTIN/EAN from your PIM into the Product markup so assistants can match your item to known products.
3. [MEDIUM] Title is too thin to be legible: "Men's Cruiser". — Lead with brand and product type, then add the attributes buyers search on (size, material, compatibility).
4. [LOW] 2 H1 elements — the page subject is ambiguous. — Use exactly one H1 that names the page, then h2/h3 for sections in order.

Note: the AI-simulation buyer questions are gated and are not included in this public mirror.